Principal Solutions Architect at Northern Trust in Bangalore

Job description

About Northern Trust As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world’s most successful individuals, families, corporations and institutions. Since 1889, we have aligned our efforts with our three guiding Principles That Endure: Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide. With more than 135 years of financial experience and over 24,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service. Role Summary We are seeking a Principal Solutions Architect - Data to provide architectural leadership across enterprise data, reporting, and analytics initiatives. The role will define scalable solutions across data platforms, integration services, semantic models, and business intelligence while ensuring security, governance, performance, and operational readiness. Key Responsibilities Own end-to-end solution and data architecture, including target-state designs, conceptual and logical data models, integration patterns, data flows, security controls, lineage, and technology standards. Partner with enterprise architects and governance teams to guide solutions through Permit to Design, Permit to Build, and Permit to Operate, ensuring design, security, risk, infrastructure, support, and operational-readiness requirements are addressed. Define scalable engineering and integration patterns across Snowflake, cloud platforms, APIs, batch processing, and event-driven services, balancing resilience, performance, security, and cost. Own reporting and analytics architecture, including Performance Reporting, Client Reporting, Power BI, and semantic models. Establish standards for Import, DirectQuery, hybrid models, aggregation, incremental refresh, caching, and query optimization. Lead resolution of complex performance issues across source systems, data platforms, transformations, calculation layers, semantic models, and Power BI. Define measurable non-functional requirements for performance, scalability, availability, resilience, data freshness, observability, security, supportability, and cost. Establish reusable patterns for data modeling, metadata, lineage, data quality, auditability, governance, and access control to reduce technical debt. Provide architectural leadership across client, account, product, legal agreement, performance, benchmark, reference, and other strategic data domains. Act as a senior design authority by reviewing solutions, challenging technical choices, identifying risks and dependencies, mentoring teams, and communicating decisions to business and technology stakeholders. Maintain concise architecture deliverables, including diagrams, data models, integration flows, architecture decisions, deployment views, and operational-readiness documentation. Required Experience and Qualifications Extensive experience designing and delivering enterprise-scale data platforms and data-driven applications. Deep expertise in Snowflake, data warehousing, relational and dimensional modeling, ETL/ELT, metadata, lineage, data quality, and audit controls. Strong experience with Power BI architecture, semantic models, DAX, Import and DirectQuery patterns, incremental refresh, aggregation, and performance optimization. Experience diagnosing performance across SQL, transformation, semantic, and visualization layers. Experience with cloud architecture, APIs, services, batch and event-driven integration, security, observability, and operational resilience. Proven ability to define target-state architecture, reusable technical patterns, roadmaps, and measurable non-functional requirements. Strong technical leadership, stakeholder management, facilitation, and communication skills. Bachelor's